Backend Software Developer with a strong foundation in cloud computing, big data technologies, and scalable web application development. I am currently pursuing a Master’s degree in Information Technology & Management at the University of Texas at Dallas, with a focus on software development and cloud-based solutions. My professional experience includes an impactful internship where I optimized data pipelines, managed AWS-based workflows, and enhanced data security.Key Projects:GitHub: github.com/AjaX-05LeetCode: leetcode.com/u/ajaysakthishankar/URL Shrinker ApplicationBuilding a URL-shortening web application using Node.js, Express.js, MongoDB, and EJS for frontend rendering. The app allows users to shorten URLs and manage them through a user dashboard. Implemented JWT-based authentication to control access and ensure security. MongoDB was used to store user-specific shortened URLs and usage statistics.Personal Habit Tracker Application: Developed a habit-tracking web application using the MEN stack (MongoDB, Express.js, Node.js) with JWT for secure user authentication and Bcrypt for password encryption. Implemented RESTful APIs for managing user habits, improving maintainability by 30% through the use of MVC architecture. Refined database queries to enhance performance by 24%, resulting in a smoother user experience. Technologies: Node.js, Express.js, MongoDB, JWT, Bcrypt, REST API.End-to-End Cloud Data Pipeline for Zillow Data Analytics: Architected a scalable data pipeline on AWS using Apache Airflow for orchestration. Leveraged AWS S3, Lambda, and Redshift to process and transform real estate data in a Medallion architecture (Bronze, Silver, Gold layers), reducing data processing time by 40%. Utilized QuickSight for data visualization. Technologies: AWS S3, Lambda, Redshift, Apache Airflow, QuickSight.ArXiv Metadata Analysis with PySpark and Hadoop: Performed metadata analysis using PySpark and Hadoop, implementing performance optimizations like broadcast joins and repartitioning. Reduced data processing time by 36%. Technologies: PySpark, Hadoop, Apache Spark.Languages: Java, JavaScript, Python, SQL, NoSQL, Data Structures & AlgorithmsTechnologies/Frameworks: Node.js, Express.js, MongoDB, PostgreSQL, REST API, Docker, AWS (Lambda, S3, Redshift, VPC, RDS), Apache Spark, Apache Airflow, Hadoop, Unix/Linux, Git, GitHubCertifications: AWS Cloud Practitioner, AWS Solutions Architect, AWS Developer Associate, Azure Fundamentals